5 citations · 5 across the 2 of their papers we have counts for
5 papers
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling
Dongsuk Oh, Yejin Kim, Hodong Lee +2
Recent pre-trained language models (PLMs) achieved great success on many natural language processing tasks through learning linguistic features and contextualized sentence represen…
I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning
Jungwoo Lim, Dongsuk Oh, Yoonna Jang +2
CommonsenseQA is a task in which a correct answer is predicted through commonsense reasoning with pre-defined knowledge. Most previous works have aimed to improve the performance w…
Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection
Taesun Whang, Dongyub Lee, Dongsuk Oh +4
In this paper, we study the task of selecting the optimal response given a user and system utterance history in retrieval-based multi-turn dialog systems. Recently, pre-trained lan…
Word Sense Disambiguation using Knowledge-based Word Similarity
Sunjae Kwon, Dongsuk Oh, Youngjoong Ko
In natural language processing, word-sense disambiguation (WSD) is an open problem concerned with identifying the correct sense of words in a particular context. To address this pr…
An Effective Domain Adaptive Post-Training Method for BERT in Response Selection
Taesun Whang, Dongyub Lee, Chanhee Lee +3
We focus on multi-turn response selection in a retrieval-based dialog system. In this paper, we utilize the powerful pre-trained language model Bi-directional Encoder Representatio…